Translates an OpenAPI schema to SQLAlchemy models.
Supports OpenAPI 3.0 and 3.1.
Get started with the online editor that will guide you through using your
existing OpenAPI specification to define your database schema and offers
installing your models using pip
:
Online Editor
python -m pip install OpenAlchemy
# To be able to load YAML file
python -m pip install OpenAlchemy[yaml]
For example, given the following OpenAPI specification:
# ./examples/simple/example-spec.yml
openapi: "3.0.0"
info:
title: Test Schema
description: API to illustrate OpenAlchemy MVP.
version: "0.1"
paths:
/employee:
get:
summary: Used to retrieve all employees.
responses:
200:
description: Return all employees from the database.
content:
application/json:
schema:
type: array
items:
"$ref": "#/components/schemas/Employee"
components:
schemas:
Employee:
description: Person that works for a company.
type: object
x-tablename: employee
properties:
id:
type: integer
description: Unique identifier for the employee.
example: 0
x-primary-key: true
x-autoincrement: true
name:
type: string
description: The name of the employee.
example: David Andersson
x-index: true
division:
type: string
description: The part of the company the employee works in.
example: Engineering
x-index: true
salary:
type: number
description: The amount of money the employee is paid.
example: 1000000.00
required:
- id
- name
- division
The SQLALchemy models file then becomes:
# models.py
from open_alchemy import init_yaml
init_yaml("./examples/simple/example-spec.yml")
The Base and Employee objects can be accessed:
from open_alchemy.models import Base
from open_alchemy.models import Employee
With the models_filename parameter a file is auto generated with type hints for the SQLAlchemy models at the specified location, for example: type hinted models example. This adds support for IDE auto complete, for example for the model initialization:
and for properties and methods available on an instance:
An extensive set of examples with a range of features is here:
An example API has been defined using connexion and Flask here:
- initializing from JSON,
- initializing from YAML,
- build a package with the models for distribution, packaged as sdist or wheel,
- automatically generate a models file,
integer
(32 and 64 bit),number
(float only),boolean
,string
,password
,byte
,binary
,date
,date-time
,- generic JSON data,
$ref
references for columns and models,- remote
$ref
to other files on the same file system (not supported on Windows), - remote
$ref
to other files at a URL, - primary keys,
- auto incrementing,
- indexes,
- composite indexes,
- unique constraints,
- composite unique constraints,
- column nullability,
- foreign keys,
- default values for columns (both application and database side),
- many to one relationships,
- one to one relationships,
- one to many relationships,
- many to many relationships,
- many to many relationships with custom association tables,
- custom foreign keys for relationships,
- back references for relationships,
allOf
inheritance for columns and models,- joined and single table inheritance,
from_str
model methods to construct from JSON string,from_dict
model methods to construct from dictionaries,to_str
model methods to convert instances to JSON string,__str__
model methods to support the pythonstr
function,__repr__
model methods to support the pythonrepr
function,to_dict
model methods to convert instances to dictionaries,readOnly
andwriteOnly
for influence the conversion to and from dictionaries,- exposing created models under
open_alchemy.models
removing the need formodels.py
files, - ability to mix in arbitrary classes into a model and
- can use the short
x-
prefix or a namespacedx-open-alchemy-
prefix for extension properties.
Fork and checkout the repository. To install:
poetry install
To run tests:
poetry run pytest
Make your changes and raise a pull request.
poetry shell
cd docs
make html
This creates the index.html
file in docs/build/html/index.html
.
rm -r dist/*
poetry build
poetry publish